| 天气现象仪自动化观测资料对比分析 |
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| 引用本文： | 杜波,张雪芬,胡树贞,李肖霞.天气现象仪自动化观测资料对比分析[J].气象科技,2014,42(4):617-623. |
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| 作者姓名： | 杜波 张雪芬 胡树贞 李肖霞 |
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| 作者单位： | 中国气象局气象探测中心，北京 100081;中国气象局气象探测中心，北京 100081;中国气象局气象探测中心，北京 100081;中国气象局气象探测中心，北京 100081 |
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| 摘 要： | 介绍2011年12月至2012年6月在北京市观象台、庐山气象局对目前一些天气现象仪所进行的对比观测试验的过程和结果分析。参与此次为期7个月的对比观测试验仪器有3种类型,每种类型配备3套,分别由3家厂商提供。试验采用人工目测辅助摄像作为参考标准,测试了这些天气现象仪对各种不同天气现象观测的准确性。结果表明:各仪器观测降水现象的数据准确性均大于90%,能够满足业务需求。区分降水强度时,各仪器的降水捕获率在70%以上(雨强大于0.01mm/h);微量降水(雨强小于0.01mm/h)和混合型降水,各仪器降水捕获率相对较低。仪器观测视程障碍现象的数据准确性均大于80%,能够满足业务需求。其他现象由于样本数量相对较少,需要更多进一步试验,并改进算法。
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| 关 键 词： | 天气现象仪 对比观测 资料分析 |
| 收稿时间： | 2013/6/19 0:00:00 |
| 修稿时间： | 2013/11/11 0:00:00 |
Automatized Observational Experiment on Several Present Weather Sensors |
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| Du Bo,Zhang Xuefen,Hu Shuzhen and Li Xiaoxia.Automatized Observational Experiment on Several Present Weather Sensors[J].Meteorological Science and Technology,2014,42(4):617-623. |
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| Authors: | Du Bo Zhang Xuefen Hu Shuzhen and Li Xiaoxia |
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| Institution: | Du Bo Zhang Xuefen Hu Shuzhen Li Xiaoxia (CMA Meteorological Observation Center, Beijingl00081) |
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| Abstract: | The test procedures and result analysis of the comparative observation experiment on some present weather sensors at the Beijing Meteorological Observatory and Lushan Meteorological Service from December 2011 to June 2012 are described. There were three types of sensors tested in the 7 month experiment, each equipped with three sets provided by three manufactures. The experiment used the measurements from cameras aided by visual observation as the reference standards and tested the accuracy of these weather sensors in observing various weather phenomena. The results show that the data accuracy of rainfall phenomenon observations from these sensors is generally greater than 90%, which meets the needs of meteorological service; for precipitation intensity, the rainfall capture rate of these sensors is greater than 70% (rainfall intensity is greater than 0.01 mm/h), and for tracing precipitation (rainfall intensity is less than 0.01 mm/h) and mixed precipitation, the capture rate is relatively low; for low visibility phenomena, the observation accuracy is greater than 80%, which also meets the needs of meteorological service; and for other phenomena, more tests and improved algorithms are needed in future due to a relatively small number of samples. |
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| Keywords: | present weather sensor comparative observation data analysis |
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